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Data warehouse automation

From Wikipedia, the free encyclopedia

Data warehouse automation (DWA) refers to the process of accelerating and automating the data warehouse development cycles, while assuring quality and consistency. DWA is believed to provide automation of the entire lifecycle of a data warehouse, from source system analysis to testing to documentation. It helps improve productivity, reduce cost, and improve overall quality.[1]

General

Data warehouse automation primarily focuses on automation of each and every step involved in the lifecycle of a data warehouse, thus reducing the efforts required in managing it.[2] Data warehouse automation works on the principles of design patterns. It comprises a central repository of design patterns, which encapsulate architectural standards as well as best practices for data design, data management, data integration, and data usage.[3] In November 2015, an analyst firm has published a guide Which Data Warehouse Automation Tool is Right for You? covering four of the leading products in the DWA space.[4] In November 2015, an international software and technology services company engaged in developing ‘agile tools’ for the data integration industry, was named by CIO Review as one of the 20 most promising productivity tools solution providers 2015.[5]

Benefits

Data warehouse automation can provide advantages like source data exploration, warehouse data models, ETL generation, test automation, metadata management, managed deployment, scheduling, change impact analysis and easier maintenance and modification of the data warehouse.[6] More important than the technical features of data warehouse automation tools, however, is the ability to deliver projects faster and with less resources.[7]

See also

References

  1. ^ "Automate and accelerate your data transformations". www.attunity.com. Attunity. Retrieved 7 December 2015.
  2. ^ "New Buzzword! Data Warehouse Automation". blogs.jetreports.com. jetreports. Retrieved 7 December 2015.
  3. ^ "Data Warehouse Automation - A Decision Guide" (PDF). www.wherescape.com. David L. Wells, Infocentric LLC. Retrieved 7 December 2015.
  4. ^ "Which Data Warehouse Automation Tool is Right for You?". eckerson.com. Wayne Eckerson. Retrieved 9 December 2015.
  5. ^ "CIO Magazine Award - 20 Most promising productivity tools". www.analtyixds.com. AnalytiX DS. Retrieved 25 November 2016.
  6. ^ "Data Warehouse Automation (DWA)?". timextender.com. TimeXtender Software 2015. Retrieved 7 December 2015.
  7. ^ "Deliver Faster". kalido.com. Magnitude Software. Retrieved 9 December 2015.

External links


This page was last edited on 28 April 2024, at 08:06
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